Digital Commons Network^™

Kaleidoscopic Portraits Of The Joycean Reader, Zoe Patterson

James Joyce Literary Supplement

No abstract provided.

James Joyce “Beyond The Pale”, Carrie Kancilia

James Joyce Literary Supplement

No abstract provided.

Reflecting On Forty Years Of Gabler’S Ulysses, Eishiro Ito

James Joyce Literary Supplement

No abstract provided.

Studying Electromagnetic Wave Scattering From Small Dielectric Particles Using Neural Networks, Bryan Taylan, Patrick Corzo, Chris Velissaris, Theodoros Panagiotakopoulos

Undergraduate Scholarship and Creative Works

Physics-informed neural networks solve the Helmholtz equation without labeled data, but a low residual alone does not confirm that a solution preserves the physical distinction a downstream task depends on. We trained a four-layer SIREN with physics-based residuals, a Sommerfeld condition, Adam, and L-BFGS, modeling a Gaussian source and a plane wave scattering from a small dielectric inclusion. Fine-tuning from four base models produced 600 complex fields spanning omega = 4 to 20. A compact CNN, three ResNet-18 variants, and a frozen OpenCLIP encoder classified these fields under five random seeds. The CNN achieved (95.65 +/- 0.77)% accuracy, outperforming OpenCLIP …

Human-Machine Communication: Complete Volume. Volume 13

Human-Machine Communication

This is the complete volume of HMC Volume 13.

Tool Or Social Actor? How Ai Perception And Interaction Modality Influence Perceived Credibility Of Communicative Ai Over Time, Stefanie H. Klein, Sonja Utz

Human-Machine Communication

People increasingly interact with conversational agents based on artificial intelligence (AI) for a variety of tasks. While these communicative AI (comAI) systems often produce responses that are natural and engaging, the information they provide is not always correct and unbiased. This makes it essential to understand how users perceive the credibility of such systems. Drawing on data from four waves of a longitudinal survey (NT1 = 618, NT4 = 485), we investigated how active users’ perceptions of comAI as a tool or social actor and their primary interaction modality (text vs. voice) influence the credibility perceptions of comAI, both cross-sectionally …

The Comforting Potential Of A Social Robot, Regardless Of Looks And Designed Affordances, Peggy Van Minkelen, Elly A. Konijn

Human-Machine Communication

Two field studies examined the comforting potential of an autonomously functioning humanoid robot and whether participants formed an affective bond with it, guided by a new Human-Robot Bonding framework. We designed a 2 (Designed Humanness: high versus low) × 2 (Designed Affordances: high versus low) mixed-factorial repeatedmeasures field experiment. Participants completed a stress-inducing task, followed by an interaction with the robot, which provided comfort. We measured participants’ stress levels (objectively via heart rate and subjectively via perceived stress) and their level of Bonding with the robot. Results showed that perceived stress, but not heart rate, decreased after human-robot interaction across …

The Right Kind Of Human-Like: Measuring And Testing Human-Likeness Perceptions Of Text-Based Conversational Agents, Carolin Ischen, Elizabeth Wang, Edith G. Smit

Human-Machine Communication

While conversational agents are designed with human-like features to facilitate interaction, the scholarly understanding of users’ perception of human-likeness as a key concept in human-machine communication remains underexplored. This paper provides a threelegged typology of human-likeness perceptions of text-based conversational agents, including the dimensions of appearance, capacity, and personality. Based on responses of 373 participants, the paper identifies measurement instruments for the different dimensions. Furthermore, it tests to what extent social cues commonly applied in customer service chatbots influence the different dimensions of human-likeness perception. Next to a set of direct measurements, factor analysis confirmed two indirect measurements for appearance-based …

Unexpected Encounters With Spot In The Wild: Sensemaking As Communicative Boundary Work With Robots, Annette Markham, Constanze M. Leeb, Brooke Ann Coco, Daniel Kirby, Lu Liu, Edoardo Lomi, Lucy Thornton, Kelly Ka-Lai Chan, Bradley R. Crammond

Human-Machine Communication

As near-autonomous and AI-embedded robots continue to appear in public settings, their sociality and interactivity is a critical part of the social fabric. This article presents emerging themes from a large-scale ethnographic study of granular-level public interactions between more than 400 people who have an unexpected encounter with Boston Dynamics’ robot “Spot” in a public square in Melbourne. Conceptualizing Spot as a boundary object enables us to highlight patterns of sensemaking as people grapple with ontological disruptions through micro-level interactions; within the self, with other people, or between the self and the robot. Based on thematic analysis of multimedia data …

C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark

Graduate Scholarship and Creative Works

This C.A.S. assessment evaluates how the Tampa Family Health Centers website influences userattention, cognitive processing, information accessibility, navigation efficiency, and digital user experience.The assessment examines whether the platform supports intentional engagement and informed decision-making while minimizing cognitive overload, distraction, confusion, and unnecessary attentional demands.

TFHC serves as a healthcare access portal providing appointment scheduling, patient resources, providerinformation, healthcare services, MyChart access, payment services, and community health resources.These functions make attention management and information clarity critical to successful user outcomes.

University Of Central Florida Undergraduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

The Female Voice, The Male Gaze: Ai Colonial Paradox And African Feminist Futures, Aishat Olayetunde Isiaq Mrs

ELO (un)supervised 2026

At ELO 2026, I propose to examine the feminization of artificial intelligence as a deliberate design choice rooted in a long history of technology and service labour. From the “Hello Girls” of early telephone switchboards to the default female voices of Siri, Alexa, and contemporary chatbots, technology has repeatedly been paired with performed femininity, framing assistance as innate, emotional, and subservient. This paper will critically analyze the paradoxical gendering of artificial intelligence, in which AI assistants are feminized to evoke care and service, while the algorithmic structures behind these systems remain embedded in patriarchal and colonial logics. Drawing on African …

The Question Is A Node: Online Quizzes As Interactive Non-Fiction, Michael Merriam

ELO (un)supervised 2026

The quiz is the most widely deployed form of interactive text in education. Even when it is not digitally administered, it presents a prompt, receives a response, and contains within it a formula determining the consequences of that response. A wrong answer is taken as a failure of learning (not mere recall) and, by virtue of their quasi-digital objectivity, a batch of low quiz scores might warn of difficulty in reaching benchmarks. Ergo, quizzes embody the automation of the supervisory function of the instructor, and the supervision of curricula. 

Quiz questions have something in common with nodes in digital interactive …

Electronic Literature In Ai Data Work, Mihai Bacaran

ELO (un)supervised 2026

This paper is based on my personal experience of working as a transcriber for AI projects between 2023 and 2025 in a Business Process Outsourcing company located in Eastern Europe. The job of transcribers is to listen to audio recordings provided by The Client (a major tech company whose name cannot be mentioned due to nondisclosure agreements) and either transcribe them from scratch or correct an AI generated transcription. The recordings are gathered from users of digital devices, many of whom appear unaware of being recorded.

During the transcription work, probably due to the excruciating boredom of performing the same …

The Implications Of Generative-Ai User Prompt Engineering Shaping The Absent Presence Of Latino Women Textual Rhetoric In Llms, Angely C. Suarez Dejesus

ELO (un)supervised 2026

This article examines how large language models (LLMs) generate text that affects underrepresented groups, particularly Latino women, due to limited cultural, contextual, and abstraction training rooted in biases. The research draws on Brock’s (2018) CTDA theory, White et al.’s (2023) prompt engineering framework, Klein’s (2015) computational spatiality, and Anzaldua’s (1987) concepts of cultural, emotional, and gendered borderlands to analyze the outputs. Using narrative prompt experiments, Chat GPT 3.5, 5, Claude AI, Gemini, and Microsoft Co-Pilot produced changes in their textual outputs as evidence of further algorithmic designs. Nevertheless, continual biases embedded in the algorithms’ linguistic representation and misrepresentation through the …

Cooperation, Collaboration, And Community In Horror And Suspense Games, Rachel Kerr, Monica Evans, Cameron Irby, Cheri Tang

ELO (un)supervised 2026

Cooperation has been a staple in video and analog games since their inception. From couch co-op to social deduction games, there are few games that cannot be enjoyed cooperatively in some way. Even games that are not inherently cooperative can be played collaboratively, from single-player games enjoyed by multiple people in the same room to PvP games where players opt for teamwork despite explicitly competitive mechanics. In horror and suspense games, cooperation tends to form strong communicative bonds between players. The four papers in this panel examine how communities form in and around horror and suspense games, and how those …

Ucf Pegasus Plan - Kindergarten - Time, Continuity, And Change, Enrique M. Perez Hernandez, Taya L. Green, Mia J. Derham, Anna V. Ly, Dyana Soto

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this Tiny Time Travelers unit, students will explore and compare life from the past to life in the present consistently making real world connections. They will record their understanding of each lesson through a pre-made unit long journal.

Supporting Lgbtq Youth Through A Cross-Cultural Lens Of Wellbeing, Correna Bartow

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Hypothesis: Ai Changes Everything—Findings From The Elite Lab, Shara W. Gonzalez

Teaching & Learning with AI

This presentation outlines an experimental, faculty-centered approach to integrating AI into teaching and learning at Miami Herbert Business School. Grounded in a strategic goal to deliver personalized, technology-enhanced education by 2029, it presents a framework built on lowering barriers to faculty adoption through targeted entry points, hands-on workshops, pilot programs, and iterative experimentation. The work emphasizes supporting instructors across varying levels of readiness, using data collection (e.g., faculty engagement and survey feedback) to inform continuous improvement. Findings suggest that structured support and experimentation can increase AI integration in course design and better prepare students for AI-influenced professional environments.

Ai Hallucinations, Academic Integrity, And Learning-Centered Design, Robert K. Mott, Mary Myers

Teaching & Learning with AI

No abstract provided.

Designing Equity With Ai: Scaffolding, Offloading, And Translation For Students With Learning And Attention Differences, Oksana Hagerty

Teaching & Learning with AI

This session positions AI tools as a mechanism for supporting students with learning and attention differences grounded in theories of distributed cognition. It distinguishes cognitive barriers arising from peripheral demands from those related to conceptual understanding and higher cognitive tasks. Drawing on scaffolding, cognitive offloading, and translation, the session argues for equity through intentional task design rather than individual exception. It concludes by examining the pedagogical trade-offs between AI-supported cognition and the pursuit of tool-independent mastery.

Tools As The Lens: An Ai-Resistant Case Critique System That Builds Strategic Thinking, Francesca A. Dunlevy, Michael Houston

Teaching & Learning with AI

No abstract provided.

Neongooey; V1, Carlos Ortiz Quintana, Jonathan Keathley, Ramses Ramirez

Laboratory of Planetary Habitability Atmospheric Models

This is the 1D magma ocean code used to create the NEONGOOEY data files for the Coupled atmospHere Interior modeL Intercomparison (CHILI) papers. This is a modified version of the GOOEY code from Schaefer et al. 2016, which includes carbon dioxide, a primordial hydrogen envelope, a new atmospheric escape framework and a new analytical corrected gray atmosphere approach for computing the outgoing longwave radiation (OLR). It has been used to model Earth, Venus, and Earth-sized scenarios at the orbits of TRAPPIST-1b and e.

Reframing Narratives: Remedies For Improved Human Trafficking Coverage, Stefanie Henriques

The Pegasus Review: UCF Undergraduate Research Journal

The global rise in human trafficking is not receiving adequate media attention. While newspaper coverage of the topic has increased, current research argues that the issue is framed with a lack of diversity, limiting audience understanding of its complexity. Some researchers also note that coverage disproportionately focuses on sex trafficking, with minimal attention directed to other forms of trafficking such as the labor or organ trade. This paper conducts a narrative literature analysis of media research on human trafficking, drawing on framing theory to identify dominant frames in media messaging and synthesize cross-cultural factors that impact how the issue is …

Samuel Johnson Dictionary, 1773 Edition, Beth Rapp Young

Research Data and Datasets

This dataset contains digitized page images from the 1773 fourth edition of A Dictionary of the English Language, contributed by the University of Florida and Indiana University as part of a digital humanities project led by Beth Rapp Young. The collection provides foundational primary source material for the study of 18th-century English lexicography and supports research in textual analysis, transcription, and historical linguistics.

Fluency ≠ Literacy: Practical Strategies To Scaffold, Not Offload, Rachel Rupprecht, Heidi Keller, Vanessa Hörmann

Teaching & Learning with AI

This open-access resource kit helps faculty transition students from passive AI outsourcing to critical evaluation and essential skill cultivation. It includes 11 Assignment Templates & Rubrics, a Template Selector Gem, an AI Literacy Coach Gem, a Mindset Shifts & Expert Blind Spots visual guide, and student-facing resources.

Ucf Pegasus Plan - 1st Grade - National Holidays, Ania Calbough, Paola Cedeno, Danielle Linare

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

No abstract provided.

Ucf Pegasus Plan - 2nd Grade - Early Native American Cultures, Kendall Childs, Megan Klein, Tiffany Salkin

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

No abstract provided.

Physics-Informed Neural Network Solution Of The 2d Helmholtz Equation With A Gaussian Source, Theodoros Panagiotakopoulos, Chris Velissaris, Aristotelis Nikolaos Rapsomanikis

Faculty Scholarship and Creative Works

We present a physics-informed neural network (PINN) framework for solving the complex-valued two-dimensional Helmholtz equation with a localized Gaussian source and spatially varying permittivity. Starting from Maxwell’s equations, the frequency-domain scalar Helmholtz formulation under transverse electric (TE) polarization is derived and enforced directly within the neural network loss function. The model employs a sinusoidal representation network (SIREN) architecture to capture the oscillatory nature of wave solutions and incorporates the Sommerfeld radiation condition to impose open boundary conditions. Training is performed using a hybrid collocation strategy combined with a two-stage optimization procedure consisting of Adam followed by L-BFGS. Numerical experiments in …

Co-Developing Syllabus Guidelines By Fostering Critical Ai Literacy Through Reflection, Janet Mannheimer Zydney

Teaching Online Pedagogical Repository

Students co-create the syllabus guidelines on Generative AI use by critically reflecting on when they think it is appropriate to use Generative AI for class after watching informative videos on the mechanisms and resources required for Generative AI to work.